Cheng-You Lu

I am a PhD student at the University of Technology Sydney's Human-centric Artificial Intelligence Centre in Australia. My research focuses on developing a 3D reconstruction system using drones, supervised by Prof. Chin-Teng Lin from UTS and co-advised by Prof. Yu-Lun Liu from NYCU. I also have an informal cooperation with Prof. Srinath Sridhar from Brown University.

I received my Master's degree in Computer Science from Brown University under the supervision of Prof. Srinath Sridhar. I earned my Bachelor's degree in Computer Science from NYCU under the supervision of Prof. Wen-Hsiao Peng.

Email / CV / Scholar / Github / LinkedIn

News

09/2024: Serve as a reviewer for AAAI 2025
06/2024: Serve as a reviewer for NeurIPS 2025
06/2024: Serve as a reviewer for Transactions on Artificial Intelligence
04/2024: Serve as a reviewer for ICRA RoboNeRF 2024
03/2024: Awarded the Taiwan Government Scholarship to study abroad 2024-2026
02/2024: One paper accepted by CVPR 2024 Highlight
01/2024: Serve as a reviewer for CVPR 2024.

	DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields Cheng-You Lu¹, Peisen Zhou¹, Angela Xing¹, Chandradeep Pokhariya , Arnab Dey, Ishaan N Shah, Rugved Mavidipalli, Dylan Hu, Andrew Comport , Kefan Chen, Srinath Sridhar CVPR, 2024 (Highlight) project page / arXiv A high-quality and high-frame-rate multi-view dataset for long-duration dynamic radiance fields.
	NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation Trevor Houchens¹, Cheng-You Lu¹, Shivam Duggal, Rao Fu, Srinath Sridhar Technical Report, 2022 project page / arXiv Omnidirectional Distance Fields (ODFs), a 3D shape representation that stores distances from any 3D position in any direction, along with efficient algorithms for converting ODFs to and from common 3D formats.
	Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang CVPR, 2021 project page / arXiv Multi-input Multi-output Video Rescaling Network (MIMO-VRN), a new strategy for downscaling and upscaling a group of video frames simultaneously.
	Weakly-Supervised Image Semantic Segmentation Using Gaph Convolutional Networks Shun-Yi Pan¹, Cheng-You Lu¹, Shih-Po Lee, Wen-Hsiao Peng ICME, 2021 project page / arXiv A GCN-based framework for weakly-supervised image semantic segmentation, improving pseudo label quality via Laplacian and entropy regularization.

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